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  Structural connectivity differences in left and right temporal lobe epilepsy

Besson, P., Dinkelacker, V., Valabrègue, R., Thivard, L., Leclerc, X., Baulac, M., et al. (2014). Structural connectivity differences in left and right temporal lobe epilepsy. NeuroImage, 100, 135-144. doi:10.1016/j.neuroimage.2014.04.071.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-254C-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-1492-1
Genre: Journal Article


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Besson, Pierre1, 2, Author
Dinkelacker, Vera3, 4, 5, Author
Valabrègue, Romain4, 5, Author
Thivard, Lionel5, Author
Leclerc, Xavier2, Author
Baulac, Michel3, 5, Author
Sammler, Daniela4, 6, Author              
Colliot, Olivier5, 7, Author
Lehéricy, Stéphane4, 5, Author
Samson, Séverine3, 8, Author
Dupont, Sophie3, 4, 5, Author
1Department of Clinical Neurophysiology, Centre Hospitalier Régional Universitaire de Lille, France, ou_persistent22              
2In-vivo Imaging Platform (IMPRT), Centre Hospitalier Régional Universitaire de Lille, France, ou_persistent22              
3Epilepsy Unit, Hôpital de la Salpêtrière, Paris, France, ou_persistent22              
4Centre de Neuroimagerie de Recherche, Paris, France, ou_persistent22              
5Institut du Cerveau et de la Moelle épinière (ICM), Université Paris-Sorbonne, France, ou_persistent22              
6Otto Hahn Group Neural Bases of Intonation in Speech, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1797284              
7Centre de Recherche Paris-Rocquencourt, France, ou_persistent22              
8Laboratoire de Neurosciences Fonctionnelles et Pathologies, Université Lille Nord de France, France, ou_persistent22              


Free keywords: Temporal lobe epilepsy; Connectome; Connectivity; Hippocampal sclerosis; Network based statistics
 Abstract: Our knowledge on temporal lobe epilepsy (TLE) with hippocampal sclerosis has evolved towards the view that this syndrome affects widespread brain networks. Diffusion weighted imaging studies have shown alterations of large white matter tracts, most notably in left temporal lobe epilepsy, but the degree of altered connections between cortical and subcortical structures remains to be clarified. We performed a whole brain connectome analysis in 39 patients with refractory temporal lobe epilepsy and unilateral hippocampal sclerosis (20 right and 19 left) and 28 healthy subjects. We performed whole-brain probabilistic fiber tracking using MRtrix and segmented 164 cortical and subcortical structures with Freesurfer. Individual structural connectivity graphs based on these 164 nodes were computed by mapping the mean fractional anisotropy (FA) onto each tract. Connectomes were then compared using two complementary methods: permutation tests for pair-wise connections and Network Based Statistics to probe for differences in large network components. Comparison of pair-wise connections revealed a marked reduction of connectivity between left TLE patients and controls, which was strongly lateralized to the ipsilateral temporal lobe. Specifically, infero-lateral cortex and temporal pole were strongly affected, and so was the perisylvian cortex. In contrast, for right TLE, focal connectivity loss was much less pronounced and restricted to bilateral limbic structures and right temporal cortex. Analysis of large network components revealed furthermore that both left and right hippocampal sclerosis affected diffuse global and interhemispheric connectivity. Thus, left temporal lobe epilepsy was associated with a much more pronounced pattern of reduced FA, that included major landmarks of perisylvian language circuitry. These distinct patterns of connectivity associated with unilateral hippocampal sclerosis show how a focal pathology influences global network architecture, and how left or right-sided lesions may have differential and specific impacts on cerebral connectivity.


Language(s): eng - English
 Dates: 2014-04-282014-05-092014-10-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2014.04.071
PMID: 24814212
Other: Epub 2014
 Degree: -



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Source 1

Title: NeuroImage
Source Genre: Journal
Publ. Info: -
Pages: - Volume / Issue: 100 Sequence Number: - Start / End Page: 135 - 144 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166